Demographic, Social, Economic, and Housing Characteristics for Upper East Tennessee

Paul Collins

05/12/2020

Summary

This is what I’ve done so far, along with the other tables from the PDF

Age Demographics

Racial Demographics

Racial County Bar Chart

Tract Map

Social Characteristics

Single Mothers Map

Educational Attainment

Highschool Degree or Equivalent or Higher Map

Preschool Enrollment Map

Disability Status

Disability Map

Residency One Year Ago in Different State Map

Birthplace Characteristics Data Table

Percent Tennessee Born Map

Percent Foreign Born Map

Language Spoken at Home

Primary Language other than English map

ECONOMIC CHARACTERISTICS

Workforce Demographics

ACS 2018 Unemployement Map

Workers Transportation Data Table

Mean Commute Time for Workers Map

Percent Public Transportation Use by Workers

Occupation Type

Percent Service Occupation Map

Industry Type

Self Employed Map

Income and Benefits

Median Household Income Map

Income Spread Map

SNAP Benefits

Income Below $10,000

Households with Social Security Benefits

Cash Assistance

Target Map

I didn’t clean this map up, but it gives a nice overlay of areas with a great deal of need and possibly shoes how an algorithm may be able to justify preferentially targeting certain neighborhoods for servcies

Health Insurance

No Health Insurance Map

Public Health Insurance Map

Poverty

Percent of Families with Children Under 5 Below Poverty Level

Percent of All People Below Poverty Line

Housing Characteristics

Renter Map

Rental Vacancy Map

Housing Affordability

Median Rent Map

GRAPI above 35% Map

Rent Affordability Map

GRAPI Above 30% Map

#SMOCAPI Above 30% Map

Transportation per Housing Units

No Vehicles per Housing Unit Map

Housing Heating Sources and Misc Measures

No Heat Source Map

## References

Appelhans, Tim, Florian Detsch, Christoph Reudenbach, and Stefan Woellauer. 2019. Mapview: Interactive Viewing of Spatial Data in R. https://CRAN.R-project.org/package=mapview.

Cheng, Joe, Bhaskar Karambelkar, and Yihui Xie. 2019. Leaflet: Create Interactive Web Maps with the Javascript ’Leaflet’ Library. https://CRAN.R-project.org/package=leaflet.

Glenn, Ezra Haber. 2019. Acs: Download, Manipulate, and Present American Community Survey and Decennial Data from the Us Census. https://CRAN.R-project.org/package=acs.

Makowski, Dominique, Lüdecke, and Daniel. 2019. “The Report Package for R: Ensuring the Use of Best Practices for Results Reporting.” CRAN. https://github.com/easystats/report.

Pebesma, Edzer. 2018. “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal 10 (1): 439–46. https://doi.org/10.32614/RJ-2018-009.

Pedersen, Thomas Lin, and David Robinson. 2019. Gganimate: A Grammar of Animated Graphics. https://CRAN.R-project.org/package=gganimate.

Tennekes, Martijn. 2018. “tmap: Thematic Maps in R.” Journal of Statistical Software 84 (6): 1–39. https://doi.org/10.18637/jss.v084.i06.

Walker, Kyle. 2020a. Tidycensus: Load Us Census Boundary and Attribute Data as ’Tidyverse’ and ’Sf’-Ready Data Frames. https://CRAN.R-project.org/package=tidycensus.

———. 2020b. Tigris: Load Census Tiger/Line Shapefiles. https://CRAN.R-project.org/package=tigris.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Xie, Yihui, Joe Cheng, and Xianying Tan. 2019. DT: A Wrapper of the Javascript Library ’Datatables’. https://CRAN.R-project.org/package=DT.